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Channel

USLUB BAHASA ARAB

@uslubahasarab

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

8,146subscribers

-39 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001386429108
TypeChannel
Username@uslubahasarab
DescriptionKumpulan kata, frasa, dan idiom bahasa Arab beserta contoh penggunaannya dalam kalimat. Oleh: Nasaruddin Idris Jauhar +6281336955652
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live3 November 2026
Measurements held23
Confirmed unchanged2 times, most recently 3 November 2026
On Telegramt.me/uslubahasarab

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@uslubahasarab/3030 · this entry25 Jul 2026, 14:44 UTC@uslubnahwu/349829 Jul 2026, 09:06 UTC0.984 days
@uslubnahwu/350131 Jul 2026, 00:52 UTC@uslubahasarab/3031 · this entry31 Jul 2026, 07:00 UTC0.976.1 hours
@uslubahasarab/3033 · this entry5 Aug 2026, 08:58 UTC@uslubnahwu/35065 Aug 2026, 09:07 UTC0.979 minutes
@uslubahasarab/3029 · this entry16 Jul 2026, 06:29 UTC@uslubnahwu/349516 Jul 2026, 09:48 UTC0.963.3 hours
@uslubnahwu/35045 Aug 2026, 07:14 UTC@uslubahasarab/3032 · this entry5 Aug 2026, 08:54 UTC0.951.7 hours
@uslubahasarab/3028 · this entry15 Jul 2026, 03:27 UTC@uslubnahwu/349115 Jul 2026, 03:28 UTC0.9472 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@uslubnahwu6 (6/6 hand-verifiable sample passed)0.962.5 hoursthis entry (4–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 2 May 2026 to 5 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @uslubahasarab — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,1468,2368,1917 August 2026 — 8,185 subscribers8 August 2026 — 8,189 subscribers11 August 2026 — 8,185 subscribers14 August 2026 — 8,181 subscribers17 August 2026 — 8,188 subscribers20 August 2026 — 8,210 subscribers23 August 2026 — 8,202 subscribers26 August 2026 — 8,210 subscribers29 August 2026 — 8,219 subscribers1 September 2026 — 8,222 subscribers5 September 2026 — 8,227 subscribers10 September 2026 — 8,236 subscribers13 September 2026 — 8,224 subscribers18 September 2026 — 8,234 subscribers28 September 2026 — 8,217 subscribers6 October 2026 — 8,214 subscribers12 October 2026 — 8,204 subscribers16 October 2026 — 8,184 subscribers19 October 2026 — 8,179 subscribers22 October 2026 — 8,171 subscribers24 October 2026 — 8,162 subscribers27 October 2026 — 8,156 subscribers30 October 2026 — 8,146 subscribers7 August 202630 October 2026
23 measurements spanning 84 days, net -39. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 8,133–8,250 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
30 Oct 2026, 20:558,146-10
27 Oct 2026, 12:308,156-6
24 Oct 2026, 17:398,162-9
22 Oct 2026, 02:588,171-8
19 Oct 2026, 07:368,179-5
16 Oct 2026, 02:498,184-20
12 Oct 2026, 21:498,204-10
6 Oct 2026, 02:008,214-3
28 Sept 2026, 22:388,217-17
18 Sept 2026, 17:408,234+10
13 Sept 2026, 22:578,224-12
10 Sept 2026, 15:578,236+9
5 Sept 2026, 02:208,227+5
1 Sept 2026, 16:368,222+3
29 Aug 2026, 11:038,219+9
26 Aug 2026, 18:278,210+8
23 Aug 2026, 08:268,202-8
20 Aug 2026, 06:078,210+22
17 Aug 2026, 15:578,188+7
14 Aug 2026, 12:578,181first reading

Engagement

28 posts held, back to 2 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 25 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.74%
avg views ÷ 8,146 subscribers
Avg views / post
224
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 28 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held28 (2 May 2026 – 4 November 2026)
Views total447
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 23:26 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
2

Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 02:38 UTC225 viewsread 5 November 2026

Nambah Uslub (1726) YANG PENTING BUKAN...TAPI ...: لَيْسَ الشَّأْنُ...، إِنَّمَا الشَّأْنُ.... Contoh: لَيْسَ الشَّأْنُ مَا تَقُولُ، إِنَّمَا الشَّأْنُ مَا تَفْعَلُ. Yang penting bukan apa yang kamu katakan, tapi apa yang kamu lakukan. لَيْسَ الشَّأْنُ مَنْ أَبُوكَ، إِنَّمَا الشَّأْنُ مَنْ أَنْتَ. Yang penting bukan siapa ayahmu, tapi siapa dirimu. لَيْسَ الشَّأْنُ فِي فَوْزِكَ، إِنَّمَا الشَّأْنُ كَيْفَ تَفُو…

4 Nov 2026, 02:37 UTC222 viewsread 5 November 2026

Nambah Uslub (1725) SAMPAIKAN SALAM SAYA KEPADA : أَقْرِئ ... مِنِّي السَّلَامَ Contoh: أَقْرِئِ الْأَصْدِقَاءَ هُنَاكَ مِنِّي السَّلَامَ. Sampaikan salam saya kepada teman-teman di sana. أَقْرِئِي أَبَاكِ وَأُمَّكِ مِنِّي السَّلَامَ. Sampaikan salam saya kepada ayah dan ibumu. أَقْرِئُوا أَهْلِيكُمْ مِنِّي السَّلَامَ. Sampaikan salam saya kepada keluarga kalian. أَقْرِئِ الزُّمَلاءَ الحاضِرِيْن مِنِّي السَّلَ…

6 Sept 2026, 23:00 UTC≈1,490 viewsread 5 November 2026

Nambah Uslub (1724) DISURUH : ...مَأْمُورٌ بِ Contoh: الطُّلَّابُ مَأْمُورُونَ بِالْحُضُورِ الْمُبَكِّرِ. Para siswa disuruh hadir lebih awal. أَنَا مَأْمُورٌ بِمُقَابَلَةِ الْمُشْرِفِ فِي مَكْتَبِهِ. Saya disuruh menemui pembimbing di kantornya. الْمُصَلُّونَ مَأْمُورُونَ بِقَفْلِ الْهَاتِفِ قَبْلَ الصَّلَاةِ. Jamaah disuruh mematikan telepon sebelum salat. نَحْنُ مَأْمُورُونَ بِالدُّخُولِ مِنَ الْبَابِ الْجَا…

6 Sept 2026, 00:53 UTC≈1,470 viewsread 5 November 2026

Nambah Uslub (1723) MUMPUNG BELUM : طَالَمَا لَمْ ... بَعْدُ. Contoh: وَاصِلْ دِرَاسَتَكَ طَالَمَا لَمْ تَتَزَوَّجْ بَعْدُ. Lanjutkan studimu mumpung kamu belum menikah. اِشْرَبُوا قَهْوَتَكُمْ طَالَمَا لَمْ تَبْرُدْ بَعْدُ. Minumlah kopi kalian mumpung belum dingin. اِحْجِزِ التَّذْكِرَةَ طَالَمَا لَمْ يَرْتَفِعْ سِعْرُهَا بَعْدُ. Pesanlah tiket mumpung harganya belum naik. بَادِرُوا بِالذَّهَابِ طَالَمَا لَمْ…

4 Sept 2026, 23:09 UTC≈1,320 viewsread 5 November 2026

Nambah Uslub (1722) TIDAK BEGITU/BANYAK/TERLALU : ما/لم/لا...جَيِّدًا/كَثِيرًا... Contoh: مَا سَمِعْتُ جَيِّدًا مَا قُلْتَ. Saya tidak begitu mendengar apa yang kamu katakan. لَمْ أَفْهَمْ جَيِّدًا مَا تَقْصِدُ. Saya tidak begitu paham apa yang kamu maksud. لَا أَعْرِفُ كَثِيرًا عَنْ حَيَاتِهِ الشَّخْصِيَّةِ. Saya tidak banyak tahu tentang kehidupan pribadinya. مَا افْتَخَرْتُ كَثِيرًا بِمَا أَنْجَزْتُ. Say…

25 Aug 2026, 01:17 UTC≈1,770 viewsread 5 November 2026

Nambah Uslub (1721) HERAN KOK...? : عَجِبَ ل... كَيْفَ Contoh: عَجِبْتُ لَهَا كَيْفَ أَنْهَتْ عَلاَقَتَنَا بِهَذِهِ السُّهُولَةِ. Aku heran sama dia, kok semudah itu mengakhiri hubungan kami. عَجِبْتُ لَكَ كَيْفَ تُحِبُّ التَّدْخِينَ الَّذِي يَضُرُّ بِصِحَّتِكَ. Aku heran sama kamu, kok suka merokok yang merusak kesehatanmu. عَجِبْتُ لَهُمْ كَيْفَ يَنْشُرُونَ عَلَى الْإِنْتَرْنِتِ مَا لَا يَنْفَعُ. Aku heran s…

25 Aug 2026, 01:16 UTC≈1,390 viewsread 5 November 2026

Nambah Uslub (1720) MATI AKU : يَا هَلَاكِي Contoh: يَا هَلَاكِي، ضَاعَ الْكِتَابُ الَّذِي اسْتَعَرْتُهُ مِنَ الْأُسْتَاذِ. Mati aku, buku yang kupinjam dari ustadz hilang. يَا هَلَاكِي إِذَا عُيِّنَ هَذَا الْأُسْتَاذُ الصَّارِمُ مُشْرِفًا لِي. Mati aku jika dosen killer itu jadi pembimbingku. يَا هَلَاكِي، لَقَدْ عَلِمَتْ أَنَّنِي الْتَقَيْتُ بِحَبِيبَتِيَ السَّابِقَةِ. Mati aku, dia sudah tahu kalau aku ket…

23 Aug 2026, 04:26 UTC≈1,370 viewsread 5 November 2026

Nambah Uslub (1719) HANYA KARENA : لِمُجَرَّدِ أَنَّ Contoh: خُفِّفَ عَنْ أَبِي لَهَبٍ الْعَذَابُ لِمُجَرَّدِ أَنَّهُ فَرِحَ بِمَوْلِدِ النَّبِيِّ. Abu Lahab diringankan azabnya hanya karena dia gembira dengan kelahiran Nabi. لَا تَكْرَهْ أَحَدًا لِمُجَرَّدِ أَنَّ لَهُ رَأْيًا يُخَالِفُ رَأْيَكَ. Jangan membenci seseorang hanya karena pendapatnya berbeda dengan pendapatmu. هُنَاكَ مَنْ لَا يَقْرَأُ كِتَابًا لِمُ…

5 Aug 2026, 08:58 UTC≈1,870 viewsread 5 November 2026

Nambah Uslub (1718) SIAPA YANG INGIN...HENDAKLAH : مَنْ سَرَّهُ أَنْ ... فَلْ... Contoh: مَنْ سَرَّهُ أَنْ يَطْمَئِنَّ قَلْبُهُ فَلْيَذْكُرِ اللَّهَ. Siapa yang ingin hatinya tenang, hendaklah ia mengingat Allah. مَنْ سَرَّهُ أَنْ يَعِيشَ سَعِيدًا فَلْيُصَاحِبِ الْقُرْآنَ. Siapa yang ingin hidup bahagia, hendaklah ia selalu bersama Al-Qur'an. مَنْ سَرَّهُ أَنْ يُحْسِنَ إِلَيْهِ النَّاسُ فَلْيُحْسِنْ إِلَيْهِمْ…

5 Aug 2026, 08:54 UTC≈1,650 viewsread 5 November 2026

Nambah Uslub (1717) TAMBAHAN / LEBIH BANYAK : مَزِيد مِنَ Contoh: أَعْطِنِي مَزِيدًا مِنَ الْوَقْتِ. Berilah aku tambahan waktu. اطَّلِعْ عَلَى مَزِيدٍ مِنَ الْمَرَاجِعِ. Bacalah lebih banyak referensi. نَحْتَاجُ إِلَى مَزِيدٍ مِنَ التَّمْوِيلِ. Kita butuh tambahan dana. كُلِي مَزِيدًا مِنَ الْخَضْرَوَاتِ. Makanlah lebih banyak sayuran. أُمِرْتُ بِمَزِيدٍ مِنْ مُمَارَسَةِ الرِّيَاضَةِ. Aku disuruh lebih banya…

31 Jul 2026, 07:00 UTC≈1,800 viewsread 5 November 2026

Nambah Uslub (1716) SEDIKIT DEMI SEDIKIT : قَلِيلًا فَقَلِيلًا Contoh: إِذَا غَفَلْتَ عَنْ ذِكْرِ اللَّهِ يَقْسُو قَلْبُكَ قَلِيلًا فَقَلِيلًا. Kalau kamu lupa berzikir, sedikit demi sedikit hatimu akan mengeras. بَعْدَ رُؤْيَتِهِ يَنْمُو الْحُبُّ فِي قَلْبِي قَلِيلًا فَقَلِيلًا. Setelah melihatnya, sedikit demi sedikit rasa cinta tumbuh dalam hatiku. مُنْذُ حُضُورِكَ أَخَذَ شَوْقِي إِلَيْهِ يَخْتَفِي قَلِيلًا…

25 Jul 2026, 14:44 UTC≈1,860 viewsread 5 November 2026

Nambah Uslub MESKI BEGITU (1715) MESKI BEGITU : وَمَعَ ذَٰلِكَ Contoh: هُوَ غَنِيٌّ، وَمَعَ ذَٰلِكَ يَعِيشُ حَيَاةً بَسِيطَةً. Dia kaya, meski begitu dia menjalani kehidupan yang sederhana. فَشِلْتُ كَثِيرًا، وَمَعَ ذَٰلِكَ لَا أَفْقِدُ الْأَمَلَ. Aku sering gagal, meski begitu aku tidak putus asa. اخْتَلَفْنَا فِي الرَّأْيِ، وَمَعَ ذَٰلِكَ بَقِينَا أَصْدِقَاءَ. Kami berbeda pendapat, meski begitu kami tetap…

Showing the 12 most recent of 28 posts we hold for @uslubahasarab. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 30 October 2026 — this entry's latest reading, not the date you are reading this.

“USLUB BAHASA ARAB” (@uslubahasarab), 8,146 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/uslubahasarab.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.